Full Time Onsite role for Data Engineer in Grand-Prairie, Texas

Role: Data Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews Virtual

Tentative start date ASAP

Note: Relocation assistance will be provided by Client.

As part of our commitment to our employees, Client provides a robust benefits package for full-time employees, which includes:

• Medical Coverage, Dental and Vision (100% Client contribution for the employee, 80% contribution for immediate dependents).
• 15 days of Paid Time Off (PTO).
• 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
• 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).

Must have skills:

• Minimum 5+ years of experience (No limit for a right candidate)

• Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

Job Overview:

• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

Good to Have:

• Manufacturing 8 10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
• Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
• Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.